Understanding Graph Neural Networks | Part 3/3 - Pytorch Geometric and Molecule Data using RDKit

▬▬  Code ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
Colab Notebook: https://colab.research.google.com/dri...

▬▬ Timestamps ▬▬▬▬▬▬▬▬▬▬▬▬
00:00 Introduction
00:35 Google Colab Setup
02:00 Dataset explanation
08:20 GNN Model
13:00 Model training
17:13 Model predictions

▬▬ Support me if you like 🌟
►Link to this channel: https://bit.ly/3zEqL1W
►Support me on Patreon: https://bit.ly/2Wed242
►Buy me a coffee on Ko-Fi: https://bit.ly/3kJYEdl

▬▬ My equipment 💻
- Microphone: https://amzn.to/3DVqB8H
- Microphone mount: https://amzn.to/3BWUcOJ
- Monitors: https://amzn.to/3G2Jjgr
- Monitor mount: https://amzn.to/3AWGIAY
- Height-adjustable table: https://amzn.to/3aUysXC
- Ergonomic chair: https://amzn.to/3phQg7r
- PC case: https://amzn.to/3jdlI2Y
- GPU: https://amzn.to/3AWyzwy
- Keyboard: https://amzn.to/2XskWHP
- Bluelight filter glasses: https://amzn.to/3pj0fK2

• #science_technology
• #gnn
• #graph_neural_network
• #pytorch
• #rdkit
• #molecule_data